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INFS 5116 – DATA VISUALISATION
Visualisation Project Plan (SP2 2022)
Due 8 May by 11pm

General instructions:
• This assignment is worth 27% of your final grade and it is due no later than 11pm on
Sunday 8 May.
• You will need to submit your assignment via learnonline.
• The submitted assignment needs to be a single file in pdf file format.
• This assignment will be marked out of 27.
Assessment task:

The aim of this Visualisation Project Plan is to help you structure your proposed visualisation
project and to perform some exploratory analysis of your data. It is an important preliminary
work which will form a framework for your final submission.
Your Visualisation Project Plan should have the following structure:
1. Introduction (4 marks)
Explain the context for the proposed visualisation and the main question(s) you hope to
be able to answer using visualisations.
One short paragraph (1/4 page) is sufficient.
2. Data Sources (2 marks)
Describe the data source(s) that you plan on using for your visualisation project, where it
comes from, how it was collected, its size, number and type of variables etc.
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The data source(s) you choose should be large and rich enough to allow for visual
presentation of data features from multiple perspectives and at different levels of
complexity.
Note:
1. The data you use for this project should not come from other courses you have
completed or are currently undertaking. Rather, it should be identified specifically for
the purposes of this project. Links to some public data sources are posted under
Online Resources tab on the course website.
2. Do not include screen dumps from Python or R, or a full data dictionary! Find a way
to briefly summarise your data.
One paragraph (up to 1/2 page) is sufficient. You can use dot points.
3. Project Plan (5 marks)
Propose some elementary, intermediate and overall level questions that may be
addressed using your chosen data set(s). Identify the scope of the proposed visualisation
project and possible problems that may occur along the way.
No more than one and a half page. You can use dot points.
4. Data Preparation (2 marks)
Perform and provide a summary of any data preparation tasks that are required before
you embark on building your data visualisations, e.g. joining of files and identifying data
problems (missing values or data errors).
One short paragraph is sufficient. You can use dot points.
5. Data Exploration (12 marks)
Present results of preliminary exploration of your data, which can include descriptive
statistics and graphs aimed at helping you to get to know and understand your data
before you begin building your main visualisations.
What do your preliminary results suggest in relation to the questions of interest identified
in section 3? Comment briefly.
Four to six graphics (at least two types) plus one short paragraph is sufficient. You can
use dot points if you wish.
6. References (2 marks)
Provide a list of all references that you have cited in the project plan.